LENOVO 21QA0046BM
Geekbench AI Score
1669
Single Precision Score
823
Half Precision Score
3510
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 14 2025 01:32 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 258V |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21QA0046BM |
| Motherboard | LENOVO 21QA0046BM |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 258V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1525
283.7 IPS |
|
|
Image Classification (HP)
|
100% |
454
84.5 IPS |
|
|
Image Classification (Q)
|
99% |
3409
635.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
948
15.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
624
10.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2041
33.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1917
2.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
1516
1.77 IPS |
|
|
Pose Estimation (Q)
|
94% |
7899
9.26 IPS |
|
|
Object Detection (SP)
|
100% |
1120
88.9 IPS |
|
|
Object Detection (HP)
|
100% |
427
33.8 IPS |
|
|
Object Detection (Q)
|
86% |
3300
265.2 IPS |
|
|
Face Detection (SP)
|
100% |
3517
41.8 IPS |
|
|
Face Detection (HP)
|
100% |
1204
14.3 IPS |
|
|
Face Detection (Q)
|
97% |
5070
60.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2991
23.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1152
8.87 IPS |
|
|
Depth Estimation (Q)
|
78% |
7882
62.9 IPS |
|
|
Style Transfer (SP)
|
100% |
5378
6.91 IPS |
|
|
Style Transfer (HP)
|
100% |
4159
5.35 IPS |
|
|
Style Transfer (Q)
|
98% |
11814
15.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1068
39.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
787
29.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2196
81.3 IPS |
|
|
Text Classification (SP)
|
100% |
737
983.5 IPS |
|
|
Text Classification (HP)
|
100% |
398
530.7 IPS |
|
|
Text Classification (Q)
|
97% |
983
1.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
1217
21.0 IPS |
|
|
Machine Translation (HP)
|
100% |
432
7.43 IPS |
|
|
Machine Translation (Q)
|
65% |
1539
30.9 IPS |
